Sure! Here’s the translation into American English:
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The growing demand for autonomous artificial intelligence agents has become a relevant topic in a context where users expect immediate responses. Many companies still rely on traditional chatbots, which are limited in complex situations that require human intervention, leading to inefficiencies and potential costs. A new proposal aims to develop an AI agent that can handle requests entirely autonomously, minimizing concerns about critical errors and the possible exposure of sensitive data. This approach is based on a concept called “Double Validation.”
Double Validation involves ensuring that these agents operate safely and effectively by implementing two essential components. First, input validation filters and sanitizes incoming data, protecting the system against threats such as command injections. Secondly, output validation ensures that the generated responses meet the company’s quality and safety standards before being sent to the user.
To address the growing need to trust the autonomy of the agents, a model has been adopted that groups different roles, such as managers, processors, and critics, which significantly enhance system efficiency. This modular design allows for quick adaptation and continuous improvement, ensuring that each agent specializes in its function.
Regarding the technical implementation, the Llama Prompt Guard 2 model has been selected for input validation, proving to be lightweight and effective in protecting against command injections, especially in cloud configurations. The strategy includes choosing different models for processing and evaluating responses to avoid biases that could undermine service quality.
The implementation process follows a clear sequence starting with receiving a query and moving through multiple stages of security and quality assessment before returning a validated response to the user. This approach promises not only to improve efficiency but also to result in considerable savings in human resources, enabling the autonomous operation of the agents.
While alternative approaches exist, the Double Validation model stands out by offering a balance between security, performance, and costs. It is anticipated that this methodology will be implemented not only in the customer service sector but also in high-risk areas such as finance and healthcare, where trust in technology is essential.
With the emergence of projects of this nature, the tech community is invited to reflect on the challenges posed by the adoption of autonomous agents and the potential applications of Double Validation in various contexts.
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Let me know if you need anything else!
Source: MiMub in Spanish
